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September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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30th DAAAM International Symposium on Intelligent Manufacturing and Automation 2019.

Vol. 30 (1): Proceedings of the 30th DAAAM International Symposium ''Intelligent Manufacturing & Automation''. Curran Associates, Inc., 2019.
Under the general editorship: B. Katalinic,

The 30th DAAAM International Symposium on Intelligent Manufacturing and Automation took place in Zadar, Croatia between the 21th and 26th October 2019, during the DAAAM International Week. The Symposium was organized by DAAAM International Vienna in cooperation with ÖIAV-1848, Technical University of Vienna (TU Wien), International Academy of Engineering and University of Applied Sciences Technikum Wien and Under the Auspices of the Danube Rectors’ Conference & Rectors’ and Presidents’ Honor Committee of DAAAM International for 2019. The Symposium took place in Zadar, Croatia. This year symposium aimed at continuing the success of the previous year's focusing on the five-fold traditional objectives of the symposium: the presentation of the most recent high-quality results, support of development of young scientists and researchers, organization of international (summer) doctoral school, inauguration of new members of Central European Branch of International Academy of Engineering and the provision of the necessary setting for stimulating discussions, brainstorming and networking among European and international researchers coming both from the academia government agencies and industry.

This proceeding contains 168 refereed papers from more then 400 authors presented at the 30th DAAAM International Symposium 2019. All the papers included in these proceedings are reviewed by the experts in double blind peer review way, and finally revised by the authors for the improvement according to referee’s reports and advices.

The papers discuss many aspects of modern manufacturing and automation such as: Algorithms, Artificial Intelligence, CAX, Computer Integration, Control, Cutting Tools, Design, FEM, Invited Lectures, Knowledge, Management, Manufacturing System, Mechatronics, Methodology, Methods, Modelling, Optimization, Robotics, Simulation, Technical Solutions, Technology and Trends.

Chapters
Implementing Big Data Processing Workflows Using Open Source Technologies
Suleykin, A., Panfilov P., , in: 30th DAAAM International Symposium on Intelligent Manufacturing and Automation 2019.Vol. 30 (1): Proceedings of the 30th DAAAM International Symposium ''Intelligent Manufacturing & Automation''.: Curran Associates, Inc., 2019. Ch. 054 P. 0394–0404.
In our implementation research, we apply workflow approach to the modeling and development of the Big Data processing pipeline using open source technologies. The data processing workflow is a set of interrelated steps which launch some particular jobs such as Spark job, shell job or Postgre SQL command. All workflow steps are chained to form ...
Added: February 2, 2020
Introducing Artificial Intelligence into Law Enforcement Practice: The Case of Russia
Zharova A. K., Elin V., Panfilov P., , in: 30th DAAAM International Symposium on Intelligent Manufacturing and Automation 2019.Vol. 30 (1): Proceedings of the 30th DAAAM International Symposium ''Intelligent Manufacturing & Automation''.: Curran Associates, Inc., 2019. Ch. 094 P. 0688–0692.
The article reveals the peculiarities of the use of artificial intelligence technologies in judicial and law enforcement practices in the Russian Federation, which are directly related to the strict legal regulation of substantive and procedural law. The authors associate the possibility of using artificial intelligence with the administrative activities of state bodies aimed at solving ...
Added: February 2, 2020
Research target: Computer Science Other social sciences Law Economics and Management Social Sciences Construction Nanotechnologies Industrial Biotechnologies Materials Technologies Mechanics and Mechanical Engineering Electronics and Electrical Engineering Engineering and Technology
Priority areas: engineering science
Language: English
Text on another site
Keywords: automationtechnology trendscontrol and optimizationartificial intelligenceSimulation and ModelingIndustrial Internet of things Intelligent Manufacturingcyber-physical systemsrobotics and mechatronicsSmart cities, Smart infrastructure, Industry 4.0
30th DAAAM International Symposium on Intelligent Manufacturing and Automation 2019.
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